Literature DB >> 34200459

Circulating Levels of the Interferon-γ-Regulated Chemokines CXCL10/CXCL11, IL-6 and HGF Predict Outcome in Metastatic Renal Cell Carcinoma Patients Treated with Antiangiogenic Therapy.

Emilio Esteban1, Francisco Exposito2,3,4, Guillermo Crespo5, Julio Lambea6, Alvaro Pinto7, Javier Puente8, Jose A Arranz9, Miriam Redrado2, Cristina Rodriguez-Antona10, Carlos de Andrea3,11, Marta Lopez-Brea12, Esther Redin2,3,4, Angel Rodriguez13, Diego Serrano2,3, Jorge Garcia14, Enrique Grande15, Daniel Castellano16, Alfonso Calvo2,3,4.   

Abstract

Sunitinib and pazopanib are standard first-line treatments for patients with metastatic renal cell carcinoma (mRCC). Nonetheless, as the number of treatment options increases, there is a need to identify biomarkers that can predict drug efficacy and toxicity. In this prospective study we evaluated a set of biomarkers that had been previously identified within a secretory signature in mRCC patients. This set includes tumor expression of c-Met and serum levels of HGF, IL-6, IL-8, CXCL9, CXCL10 and CXCL11. Our cohort included 60 patients with mRCC from 10 different Spanish hospitals who received sunitinib (n = 51), pazopanib (n = 4) or both (n = 5). Levels of biomarkers were studied in relation to response rate, progression-free survival (PFS) and overall survival (OS). High tumor expression of c-Met and high basal serum levels of HGF, IL-6, CXCL11 and CXCL10 were significantly associated with reduced PFS and/or OS. In multivariable Cox regression analysis, CXCL11 was identified as an independent biomarker predictive of shorter PFS and OS, and HGF was an independent predictor of reduced PFS. Correlation analyses using our cohort of patients and patients from TCGA showed that HGF levels were significantly correlated with those of IL-6, CXCL11 and CXCL10. Bioinformatic protein-protein network analysis revealed a significant interaction between these proteins, all this suggesting a coordinated expression and secretion. We also developed a prognostic index that considers this group of biomarkers, where high values in mRCC patients can predict higher risk of relapse (HR 5.28 [2.32-12.0], p < 0.0001). In conclusion, high plasma HGF, CXCL11, CXCL10 and IL-6 levels are associated with worse outcome in mRCC patients treated with sunitinib or pazopanib. Our findings also suggest that these factors may constitute a secretory cluster that acts coordinately to promote tumor growth and resistance to antiangiogenic therapy.

Entities:  

Keywords:  antiangiogenic therapy; biomarkers; chemokines; cytokines; renal cell carcinoma

Year:  2021        PMID: 34200459     DOI: 10.3390/cancers13112849

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  2 in total

1.  Study of Clinical Predictive Value and Immune Characterization of SLFN11 in Clear Cell Renal Cell Carcinoma.

Authors:  Yifu Liu; Zhicheng Zhang; Shengqiang Fu; Siyuan Wang; Xiaofeng Cheng; Kunyang Lei; Zhilong Li; Ting Sun; Ming Ma
Journal:  Int J Gen Med       Date:  2021-10-13

Review 2.  The Role of Circulating Biomarkers in the Oncological Management of Metastatic Renal Cell Carcinoma: Where Do We Stand Now?

Authors:  Alessandra Cinque; Anna Capasso; Riccardo Vago; Michael W Lee; Matteo Floris; Francesco Trevisani
Journal:  Biomedicines       Date:  2021-12-31
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.